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Volterra and Wiener series

  • Volterra and Wiener series are two classes of polynomial representations of nonlinear systems. They are perhaps the best understood and most widely used nonlinear system representations in signal processing and system identification. A Volterra or Wiener representation can be thought of as a natural extension of the classical linear system representation. In addition to the convolution of the input signal with the system's impulse response, the system representation includes a series of nonlinear terms that contain products of increasing order of the input signal with itself. It can be shown that these polynomial extension terms allow for representing a large class of nonlinear systems which basically encompasses all systems with scalar outputs that are time-invariant and have noninfinite memory.

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Metadaten
Author:Matthias O. FranzORCiDGND
URL:http://www.scholarpedia.org/article/Volterra_and_Wiener_series
DOI:https://doi.org/doi:10.4249/scholarpedia.11307
Parent Title (English):Scholarpedia
Document Type:Other Publications
Language:English
Year of Publication:2011
Release Date:2018/03/01
Tag:Kernel based learning; System identification
Issue:6(10):11307
Open Access?:Ja
Licence (German):License LogoLizenz nach Vereinbarung